Explore strategies for effective exploratory data analysis under time constraints in this informative talk by Dr. Rajarshi Guha. Learn about various EDA models, visualization techniques, and predictive modeling approaches for analyzing chemical biology datasets. Discover how to navigate challenges in high-throughput screening, data aggregation, and representation. Gain insights into the importance of programming skills and software development in turning exploratory data analysis into a valuable product. Understand the implications of time constraints on data analysis and learn practical tips for conducting efficient EDA in time-sensitive scenarios.